大規模CTデータからの中立ボクセル抽出法(<小特集>第18回設計工学・システム部門講演会)

概要

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We propose a method for medial voxel extraction from large volumetric models scanned by CT scanners. Our method extends geodesic-based approaches so that it handles large objects. We first construct distance fields from input volumes. Next, medial voxels are extracted from these distance fields through multi-phase evaluation processes. At first, trivial medial or non-medial voxels are evaluated by the low-cost pseudo-geodesic distance method. The rest voxels are evaluated by more expensive geodesic distance computation. This strategy allows most of the voxels can be extracted in the low-cost process. This paper demonstrates a number of results of medial voxel extraction from scanned engineering objects. In addition, we also demonstrate a medial surface reconstruction from medial voxels.
社団法人日本機械学会の論文
2009-08-25